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Article
Publication date: 19 May 2023

Kishore Gopalakrishna Pillai, Piyush Sharma, Joep Cornelissen, Yumeng Zhang and Smitha R. Nair

This paper aims to propose mechanisms of the dark side of interorganizational relationships from a social psychological perspective. The purpose is to understand the role of…

344

Abstract

Purpose

This paper aims to propose mechanisms of the dark side of interorganizational relationships from a social psychological perspective. The purpose is to understand the role of boundary spanners’ social psychological processes that may trigger the dark side effects.

Design/methodology/approach

Multple mechanisms are developed through three social psychological theories, namely, social identity theory, system justification theory and social learning theory.

Findings

Boundary spanners’ social psychological processes can trigger the dark side of interorganizational relationships via mechanisms such as excessive cooperation, reification, system justification and path dependence in learning.

Practical implications

This paper concludes with a discussion that offers a new perspective on research on dark side effects and the managerial implications of the present analysis.

Originality/value

This paper contributes to the current literature by extending the interpersonal social psychological processes that could explain the dark side of interorganizational relationships. This paper is a step forward to answer the calls for multilevel considerations of the dark side effects and inspire future research on the role of social psychological processes in dark side effects.

Details

Journal of Business & Industrial Marketing, vol. 38 no. 12
Type: Research Article
ISSN: 0885-8624

Keywords

Available. Open Access. Open Access
Article
Publication date: 17 June 2022

Songqing Li, Xuexi Huo, Ruishi Si, Xueqian Zhang, Yumeng Yao and Li Dong

Climatic changes caused by greenhouse gases (GHGs) emissions are an urgent challenge for all regions around the globe while the livestock sector is an important source of GHGs…

1559

Abstract

Purpose

Climatic changes caused by greenhouse gases (GHGs) emissions are an urgent challenge for all regions around the globe while the livestock sector is an important source of GHGs emissions. The adoption of low-carbon manure treatment technology (LMTT) by farmers is emerging as an effective remedy to neutralize the carbon emissions of livestock. This paper aims to incorporate environmental literacy and social norms into the analysis framework, with the aim of exploring the impact of environmental literacy and social norms on farmers' adoption of LMTT and finally reduce GHGs emission and climate effects.

Design/methodology/approach

This research survey is conducted in Hebei, Henan and Hubei provinces of China. First, this research measures environmental literacy from environmental cognition, skill and responsibility and describes social norms from descriptive and imperative social norms. Second, this paper explores the influence of environmental literacy and social norms on the adoption of LMTT by farmers using the logit model. Third, Logit model's instrumental approach, i.e. IV-Logit, is applied to address the simultaneous biases between environmental skill and farmers’ LMTT adoption. Finally, the research used a moderating model to analyze feasible paths of environmental literacy and social norms that impact the adoption of LMTT by farmers.

Findings

The results showed that environmental literacy and social norms significantly and positively affect the adoption of LMTT by farmers. In particular, the effects of environmental literacy on the adoption of LMTT by farmers are mainly contributed by environmental skill and responsibility. The enhancement of social norms on the adoption of LMTT by farmers is mainly due to the leading role of imperative social norms. Meanwhile, if the endogeneity caused by the reverse effect between environmental skill and farmers’ LMTT adoption is dealt with, the role of environmental skill will be weakened. Additionally, LMTT technologies consist of energy and resource technologies. Compared to energy technology, social norms have a more substantial moderating effect on environmental literacy, affecting the adoption of farmer resource technology.

Originality/value

To the best of the authors’ knowledge, a novel attempt is made to examine the effects of environmental literacy and social norms on the adoption of LMTT by farmers, with the objective of identifying more effective factors to increase the intensity of LMTT adoption by farmers.

Details

International Journal of Climate Change Strategies and Management, vol. 16 no. 4
Type: Research Article
ISSN: 1756-8692

Keywords

Available. Content available

Abstract

Details

International Journal of Climate Change Strategies and Management, vol. 17 no. 1
Type: Research Article
ISSN: 1756-8692

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Article
Publication date: 10 September 2021

Yucheng Zhang, Zhongwei Hou, Xingxing Zhou, Yumeng Yue, Siqi Liu, XiaoXiao Jiang and Ling Li

Despite recent organizational behavior studies have witnessed considerable progress in abusive supervision research; some demerits for both theory and methodology still remain in…

694

Abstract

Purpose

Despite recent organizational behavior studies have witnessed considerable progress in abusive supervision research; some demerits for both theory and methodology still remain in the past years. To clarify the current state of knowledge in the field, this study aims to analyze the current state of theories and methods on abusive supervision and provides a detailed future research agenda.

Design/methodology/approach

This paper conducted a literature review for both theory and methodology of the abusive supervision research using a content analysis of 134 publications.

Findings

For the theory part, this paper summarized the theories that had been applied to explain the relationship between abusive supervision and its consequences as well as antecedents. For the methodology part, this paper outlined some critical issues regarding country of origin, research design, measurement, analysis strategy and also summarized with a discussion of the relationship between methodological issues and article impact. Finally, this paper concluded by presenting an agenda for future abusive supervision research regarding both theory and methodology.

Originality/value

First, this paper summarizes the main theories, antecedents and consequences often used in abusive supervision research to allow scholars to carry out theoretically driven research investigating abusive supervision in the future. Second, through a content analysis of the methods sections of abusive supervision research in the samples (i.e. country of origin, research design, measurement and analytical procedures), this paper identified the potential reasons underlying the inconsistency in the conclusions of abusive supervision research and provide some guidance for future empirical studies. Third, based on the qualitative review, this paper provides an agenda for future research investigating abusive supervision by developing a content-specific theoretical framework to benchmark abusive supervision research against other research related to leadership and offers an accurate response to scholars’ criticisms of abusive supervision research.

Details

Chinese Management Studies, vol. 16 no. 3
Type: Research Article
ISSN: 1750-614X

Keywords

Available. Open Access. Open Access
Article
Publication date: 2 June 2023

Junru Zhang, Yumeng Liu and Bo Yan

This study aims to research the large cross-section tunnel stability evaluation method corrected after considering the thickness-span ratio.

348

Abstract

Purpose

This study aims to research the large cross-section tunnel stability evaluation method corrected after considering the thickness-span ratio.

Design/methodology/approach

First, taking the Liuyuan Tunnel of Huanggang-Huangmei High-Speed Railway as an example and taking deflection of the third principal stress of the surrounding rock at a vault after tunnel excavation as the criterion, the critical buried depth of the large section tunnel was determined. Then, the strength reduction method was employed to calculate the tunnel safety factor under different rock classes and thickness-span ratios, and mathematical statistics was conducted to identify the relationships of the tunnel safety factor with the thickness-span ratio and the basic quality (BQ) index of the rock for different rock classes. Finally, the influences of thickness-span ratio, groundwater, initial stress of rock and structural attitude factors were considered to obtain the corrected BQ, based on which the stability of a large cross-section tunnel with a depth of more than 100 m during mechanized operation was analyzed. This evaluation method was then applied to Liuyuan Tunnel and Cimushan No. 2 Tunnel of Chongqing Urban Expressway for verification.

Findings

This study shows that under different rock classes, the tunnel safety factor is a strict power function of the thickness-span ratio, while a linear function of the BQ to some extent. It is more suitable to use the corrected BQ as a quantitative index to evaluate tunnel stability according to the actual conditions of the site.

Originality/value

The existing industry standards do not consider the influence of buried depth and span in the evaluation of tunnel stability. The stability evaluation method of large section tunnel considering the correction of overburden span ratio proposed in this paper achieves higher accuracy for the stability evaluation of surrounding rock in a full or large-section mechanized excavation of double line high-speed railway tunnels.

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Article
Publication date: 5 June 2017

Yumeng Hu, Haiming Huang and Zimao Zhang

The purpose of this paper is to explore the characteristics of hypersonic flow past a blunt body.

398

Abstract

Purpose

The purpose of this paper is to explore the characteristics of hypersonic flow past a blunt body.

Design/methodology/approach

The implicit finite volume schemes are derived from axisymmetric Navier–Stokes equations by means of AUSM+ and LU-SGS methods, and programmed in FORTRAN. Based on the verified result that a 2D axisymmetric chemical equilibrium flow has a good agreement with the literature, the characteristics of hypersonic flow past a sphere are simulated by using four different models which involve four factors, namely, viscous, inviscid, equilibrium and calorically perfect gas.

Findings

Compared with the calorically perfect gas under hypervelocity condition, the shock wave of the equilibrium gas is more close to the blunt body, gas density and pressure become bigger, but gas temperature is lower due to the effect of real gas. Viscous effects are not obvious in the calculations of the equilibrium gas or the calorically perfect gas. In a word, the model of equilibrium gas is more suitable for hypersonic flow and the calculation of viscous flow has a smaller error.

Originality/value

The computer codes are developed to simulate the characteristics of hypersonic flows, and this study will be helpful for the design of the thermal protection system in hypersonic vehicles.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 27 no. 6
Type: Research Article
ISSN: 0961-5539

Keywords

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Article
Publication date: 22 February 2024

Yumeng Feng, Weisong Mu, Yue Li, Tianqi Liu and Jianying Feng

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new…

54

Abstract

Purpose

For a better understanding of the preferences and differences of young consumers in emerging wine markets, this study aims to propose a clustering method to segment the super-new generation wine consumers based on their sensitivity to wine brand, origin and price and then conduct user profiles for segmented consumer groups from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences.

Design/methodology/approach

We first proposed a consumer clustering perspective based on their sensitivity to wine brand, origin and price and then conducted an adaptive density peak and label propagation layer-by-layer (ADPLP) clustering algorithm to segment consumers, which improved the issues of wrong centers' selection and inaccurate classification of remaining sample points for traditional DPC (DPeak clustering algorithm). Then, we built a consumer profile system from the perspectives of demographic attributes, eating habits and wine sensory attribute preferences for segmented consumer groups.

Findings

In this study, 10 typical public datasets and 6 basic test algorithms are used to evaluate the proposed method, and the results showed that the ADPLP algorithm was optimal or suboptimal on 10 datasets with accuracy above 0.78. The average improvement in accuracy over the base DPC algorithm is 0.184. As an outcome of the wine consumer profiles, sensitive consumers prefer wines with medium prices of 100–400 CNY and more personalized brands and origins, while casual consumers are fond of popular brands, popular origins and low prices within 50 CNY. The wine sensory attributes preferred by super-new generation consumers are red, semi-dry, semi-sweet, still, fresh tasting, fruity, floral and low acid.

Practical implications

Young Chinese consumers are the main driver of wine consumption in the future. This paper provides a tool for decision-makers and marketers to identify the preferences of young consumers quickly which is meaningful and helpful for wine marketing.

Originality/value

In this study, the ADPLP algorithm was introduced for the first time. Subsequently, the user profile label system was constructed for segmented consumers to highlight their characteristics and demand partiality from three aspects: demographic characteristics, consumers' eating habits and consumers' preferences for wine attributes. Moreover, the ADPLP algorithm can be considered for user profiles on other alcoholic products.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 8 November 2024

Yongliang Wang, Yifeng Duan, Yanpei Song and Yumeng Du

Supercritical CO2 (SC–CO2) fracturing is a potential technology that creates a complex fracturing fracture network to improve reservoir permeability. SC–CO2-driven intersections…

42

Abstract

Purpose

Supercritical CO2 (SC–CO2) fracturing is a potential technology that creates a complex fracturing fracture network to improve reservoir permeability. SC–CO2-driven intersections of the fracturing fracture network are influenced by some key factors, including the disturbances generated form natural fractures, adjacent multi-wells and adjacent fractures, which increase the challenges in evaluation, control and optimization of the SC–CO2 fracturing fracture networks. If the evaluation of the fracture network is not accurate and effective, the risk of oil and gas development will increase due to the microseismicity induced by multi-well SC–CO2 fracturing, which makes it challenging to control the on-site engineering practices.

Design/methodology/approach

The numerical models considering the thermal-hydro-mechanical coupling effect in multi-well SC–CO2 fracturing were established, and the typical cases considering naturally fracture and multi-wells were proposed to investigate the intersections and connections of fracturing fracture network, shear stress shadows and induced microseismic events. The quantitative results from the typical cases, such as fracture length, volume, fluid rate, pore pressure and the maximum and accumulated magnitudes of induced microseismic events, were derived.

Findings

In naturally fractured reservoirs, SC–CO2 fracturing fractures will deflect and propagate along the natural fractures, eventually intersect and connect with fractures from other wells. The quantitative results indicate that SC–CO2 fracturing in naturally fractured reservoirs produces larger fractures than the slick water as fracturing fluid, due to the ability of SC–CO2 to connect macroscopic and microscopic fractures. Compared with slick water fracturing, SC–CO2 fracturing can increase the length of fractures, but it will not increase microseismic events; therefore, SC–CO2 fracturing can improve fracturing efficiency and increase productivity, but it may not simultaneously lead to additional microseismic events.

Originality/value

The results of this study on the multi-well SC–CO2 fracturing may provide references for the fracturing design of deep oil and gas resource extraction, and provide some beneficial supports for the induced microseismic event disasters, promoting the next step of engineering application of multi-well SC–CO2 fracturing.

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Article
Publication date: 28 December 2020

Yumeng Peng and Xiang Zhou

The purpose of the paper is to investigate how cross-cultural elements such as cultural difference and stereotype are integrated into collaborative modes and actions and to…

547

Abstract

Purpose

The purpose of the paper is to investigate how cross-cultural elements such as cultural difference and stereotype are integrated into collaborative modes and actions and to explore their corresponding effectiveness.

Design/methodology/approach

The sample of the quantitative content analysis is drawn from the posts with the topic of China on Quora. A collaborative case, where two users have a question-and-answer interaction, is taken as the unit of analysis. The effectiveness of collaboration is operationalized as the extent to which a collaboratively produced answer is visited and favorably reviewed, using the feedback index (the number of upvotes*1,000/views). One of the sampled collaborative cases is further analyzed qualitatively to see how cultural differences, stereotypes and other factors are incorporated into users' interaction.

Findings

This content analysis reveals nine modes of collaborative production of knowledge on Quora: initial questioning, pointed answering, raising doubts, responding to others, agreeing with others, correcting mistakes, enriching content, further questioning and extending issues. Diversity of the cross-cultural acts of collaborative production, particularly two of often-used collaborative actions, correcting stereotypes and supplementing cultural differences, helps to enhance overall collaborative effectiveness.

Practical implications

This paper offers new perspectives and ideas for strategies to change socially problematic stereotypes, e.g. to correct stereotypes where necessary and use more convincing resources such as reliable images as collaborative actions to bridge cultural differences. It also calls on social Q&A website developers to create more international users-friendly design by providing various channels for users with diverse cultural backgrounds to interact with each other.

Originality/value

This study is one of the first to investigate online collaborative knowledge production within a broader cross-cultural context. Specifically, cultural factors and cross-cultural collaborative actions have been innovatively integrated into this research, enriching the dimensions that can be used for collaboration classification. It is helpful for users from different countries to actively adopting different strategies to overcome cultural differences, preconceptions and other negative factors that are not conducive to communication and knowledge acquisition.

Details

Aslib Journal of Information Management, vol. 73 no. 2
Type: Research Article
ISSN: 2050-3806

Keywords

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Article
Publication date: 8 May 2023

Yumeng Hou, Fadel Mamar Seydou and Sarah Kenderdine

Despite being an authentic carrier of various cultural practices, the human body is often underutilised to access the knowledge of human body. Digital inventions today have…

232

Abstract

Purpose

Despite being an authentic carrier of various cultural practices, the human body is often underutilised to access the knowledge of human body. Digital inventions today have created new avenues to open up cultural data resources, yet mainly as apparatuses for well-annotated and object-based collections. Hence, there is a pressing need for empowering the representation of intangible expressions, particularly embodied knowledge within its cultural context. To address this issue, the authors propose to inspect the potential of machine learning methods to enhance archival knowledge interaction with intangible cultural heritage (ICH) materials.

Design/methodology/approach

This research adopts a novel approach by combining movement computing with knowledge-specific modelling to support retrieving through embodied cues, which is applied to a multimodal archive documenting the cultural heritage (CH) of Southern Chinese martial arts.

Findings

Through experimenting with a retrieval engine implemented using the Hong Kong Martial Arts Living Archive (HKMALA) datasets, this work validated the effectiveness of the developed approach in multimodal content retrieval and highlighted the potential for the multimodal's application in facilitating archival exploration and knowledge discoverability.

Originality/value

This work takes a knowledge-specific approach to invent an intelligent encoding approach through a deep-learning workflow. This article underlines that the convergence of algorithmic reckoning and content-centred design holds promise for transforming the paradigm of archival interaction, thereby augmenting knowledge transmission via more accessible CH materials.

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